Specification of XC6SLX75-2FGG676C | |
---|---|
Status | Active |
Series | Spartan?-6 LX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 5831 |
Number of Logic Elements/Cells | 74637 |
Total RAM Bits | 3170304 |
Number of I/O | 408 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 676-BGA |
Supplier Device Package | 676-FBGA (27×27) |
Applications
The XC6SLX75-2FGG676C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device operates within a wide range of temperatures from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 500 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MT/s, enhancing data throughput.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Meets stringent industrial certification standards including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XC6SLX75-2FGG676C be used in high-temperature environments?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, making it suitable for both indoor and outdoor applications requiring robust performance.
Q2: What is the maximum supported memory bandwidth?
A2: The XC6SLX75-2FGG676C supports DDR4 memory with a maximum bandwidth of 2666 MT/s, which significantly boosts data transfer rates.
Q3: In which specific scenarios would you recommend using this XC6SLX75-2FGG676C?
A3: This device is recommended for scenarios involving intensive data processing tasks like machine learning algorithms, large-scale simulations, and real-time data analysis systems.
Other people’s search terms
– High-speed processing solution
– Industrial-grade computing module
– DDR4 memory support
– Energy-efficient processor
– AI hardware acceleration